Evidence map›Paper›PMID 31138856›Full record

ArticleScientific reports2019

Circulating Tumor Cell cluster phenotype allows monitoring response to treatment and predicts survival.

Ajay Balakrishnan, Deepak Koppaka, Abhishek Anand, Barnali Deb, Gianluca Grenci, Virgile Viasnoff, Erik W Thompson, Harsha Gowda, Ramray Bhat, Annapoorni Rangarajan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 62 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 4 countries.

Ajay BalakrishnanInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Deepak KoppakaDepartment of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India.
Abhishek AnandDepartment of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India.
Barnali DebInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Gianluca GrenciMechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.ORCID http://orcid.org/0000-0001-9313-6748
Virgile ViasnoffMechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.ORCID http://orcid.org/0000-0003-3949-2244
Erik W ThompsonSchool of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.ORCID http://orcid.org/0000-0002-9723-4924
Harsha GowdaInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India.ORCID http://orcid.org/0000-0002-4118-6855
Ramray BhatDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Annapoorni RangarajanDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Jean Paul ThieryDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. bchtjp@nus.edu.sg.ORCID http://orcid.org/0000-0003-0478-5020
K Govind BabuDepartment of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India. kgblaugh@gmail.com.
Prashant KumarInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India. prashant@ibioinformatics.org.
Kidwai Memorial Institute of Oncology · INManipal Academy of Higher Education · INIndian Institute of Science Bangalore · INNational University of Singapore · SGCentre National de la Recherche Scientifique · FRInstitute of Bioinformatics · INTranslational Research Institute · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are putative markers of tumor prognosis and may serve to evaluate patient's response to chemotherapy. CTCs are often detected as single cells but infrequently as clusters and are indicative of worse prognosis. In this study, we developed a short-term culture of nucleated blood cells which was applied to blood samples from breast, lung, esophageal and bladder cancer patients. Clusters of different degrees of compactness, classified as very tight, tight and loose were observed across various cancer types. These clusters show variable expression of cytokeratins. Cluster formation from blood samples obtained during the course of chemotherapy was found to be associated with disease progression and shorter overall survival. The short-term cultures offer a robust and highly reliable method for early prediction of treatment response in different cancer types.

Indexed as

Antineoplastic AgentsBreast NeoplasmsDisease ProgressionEsophageal NeoplasmsFemaleHumansKaplan-Meier EstimateKeratinsLung NeoplasmsNeoplastic Cells, CirculatingPrognosisTumor Cells, CulturedUrinary Bladder NeoplasmsAntineoplastic AgentsKeratins

Identifiers

PMID31138856
PMCPMC6538674
OpenAlexW2947990456

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.